Paper ID #37769The development of an artificial intelligence classifier to automateassessment in large class settings: Preliminary resultsProf. Euan Lindsay, Aalborg University Euan Lindsay is Professor of PBL and Digitalisation in Engineering Education at Aalborg University. His focus is the use of technology to flexibly support providing authentic learning experiences for stu- dent engineers. He is best known for his work as Foundation Professor of Engineering at Charles Sturt University.Mohammad Naser Sabet Jahromi, Visual Analysis of People Laboratory (VAP), Aalborg University Mohammad Sabet earned his Ph.D. in Signal
Paper ID #38108Work in Progress: Re-Interpreting Engineering Laboratory LiteratureThrough the Lens of Cognitive LoadGregory Wickham, Harvey Mudd CollegeMatthew Spencer, Harvey Mudd College Matthew Spencer is an associate professor of engineering at Harvey Mudd College. His research interests include hands-on learning, MEMS, ultrasound imaging and circuit design. ©American Society for Engineering Education, 2023 Re-interpreting Engineering Laboratory Literature Through the Lens of Cognitive LoadAbstract -- This WIP theory paper argues laboratory and engineering project classes
Paper ID #37885Enhancing Undergraduate Materials Science Labs for Experiential LearningMr. Mackinley Love, University of Calgary Mackinley Love is a Master of Science candidate at the University of Calgary in the Department of Mechanical and Manufacturing Engineering. He completed his Bachelor of Applied Science in the same department in 2021. His thesis topic and interests lie in the investigation of educational scholarship and its links with undergraduate engineering laboratories. He is also the president of the Engineering Education Scholarship Society (E2S2) for 2022-2023, the graduate student club that promotes
. Her research interests center on interdisciplinary learning and teaching, technology-integrated STEM teaching practices, and assessment development and validation in STEM education.Dr. Daniel S. Puperi, The University of Texas at Austin Daniel is an assistant professor of instruction in the Department of Biomedical Engineering at the Uni- versity of Texas at Austin. Dan received a BS in aerospace engineering from Purdue University and then worked at NASA Johnson Space Center for 15 years before pursuing a PhD in Bioengineering from Rice University. In 2016, Dan graduated from Rice and began teaching four design/laboratory courses required for all undergraduate BME students at UT Austin.Thomas E. Lindsay, The University
live and video recorded). This paper describes a new classroom observationprotocol intended to monitor the focus (e.g., solo, pair, team, or whole class) and action (e.g.,discuss, speak/present, watch/listen, or distracted) of both students and teachers (instructors).The paper summarizes relevant background on evidence-based learning, student engagement,and classroom observation protocols, describes the development and structure of FASTOP,presents results from different pedagogies (e.g., lecture, laboratory, POGIL), and describeslessons learned and future directions. Results show distinctive patterns of student and teacherbehaviors for different pedagogies.1. IntroductionThe ICAP model describes the benefits of interactive (I), constructive (C
-school outreachprogram in engineering design for middle school students (ages 11-14), and how instructorsviewed the successes, challenges, and tensions of their students’ laboratory experiences. A challenge associated with NGSS and ASEE implementation is the meaningful integrationof science and engineering knowledge and skills in precollege teaching and learning. Researchhas identified issues that science teachers encounter with integrated STEM instruction, includinglack of relevant content knowledge, lack of administrative support, and weak self-efficacy inengineering pedagogy [4,10,11]. Research in STEM integration education has suggested thatinnovative instructional models and curricular resources are needed to demonstrate how scienceand
providing funding, other instances include donating technology like laboratoryequipment, providing laboratory space, and sponsoring research talks within the industry. In all of these instances of literature, discussions of industry involvement focus more onthe involvement in discipline-specific courses research, such as providing data solar data for anengineering course [7], and less on industry involvement in engineering education research.Additionally, obstacles in the industry-academia relationship have focused more on the academicside, especially on the expectations from academia, and ways to make such relationships morebeneficial for both parties [10]. The intent of our research in progress aims to address the gap in
methods to promote a culture of laboratory safety [10].Some gamification platforms to gamify classroom activities such as quizzes and surveys havealso become popular; a good example is Kahoot.In addition to gamifying individual learning activities, researchers have also been working onenhancing gamification theories in education. Denny examined the effect of virtual achievementson student engagements in his study [11] and discovered significant positive effect. Inchamnan etal. discussed gamification workflow for growth mindset processes [12]. Su evaluated thecognitive load and possible learning anxiety caused by gamification in education [13]. As part ofthe European Horizon 2020 project NEWTON, an innovative NEWTON-enhanced gamificationmodel was
] V. Svihla, S. Wettstein, J. Brown, E. Chi, and M. Wilson-Fetrow, “Consequential Agency in Chemical Engineering Laboratory Courses,” presented at the 2022 ASEE Annual Conference & Exposition, Aug. 2022. Accessed: Dec. 13, 2022. [Online]. Available: https://peer.asee.org/consequential-agency-in-chemical-engineering-laboratory-courses[23] D. H. Jonassen, “Toward a Design Theory of Problem Solving,” Educ. Technol. Res. Dev., vol. 48, no. 4, pp. 63–85, 2000, doi: https://doi.org/10.1007/BF02300500.[24] K. Dorst and N. Cross, “Creativity in the design process: co-evolution of problem– solution,” Des. Stud., vol. 22, no. 5, pp. 425–437, Sep. 2001, doi: 10.1016/S0142- 694X(01)00009-6.[25] A. Morozov, D
, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics.” [31]Topic 4 focused on students’ need for TAs to provide effective laboratory support. Effectiveteaching through the lab experience is a theme related to active learning in engineeringeducation. The experiential activities provided by engineering labs are critical to the transfer oflearning from the classroom to the real-world.Agreement (and disagreement) between automated NLP-based coding of student responses andmanual (human) coding of these responses according to the topics and themes in Table 2 arepresented in Table 3 for data seen during the development of the NLP model (i.e., the trainingset) and data not seen during model
did undergraduate students face during a research course, and how did they overcome these challenges to successfully complete their project? Sub-Question 3 (Self-Reflection): What impact did the research course have on undergraduate students' skills and knowledge and interest in research?3. BackgroundVarious efforts have been made to effectively organize and manage undergraduate researchprograms (URPs). One of the efforts, as suggested by Weldon and Reyna [5] and Thornton et al.[6], is to design a lab manual that outlines clear expectations for undergraduate researchers in thelab to help with a smooth transition for new students so that faculty mentors do not have toreinvent the wheel each time a new student joins the laboratory
delivering such information. 5.1.3 | Need for improving hands-on experiences of studentsHands-on experiences were considered to be an important part of college life. They were perceivedto contribute to better MHW as they provided students to see the practical real-world applicationsof their courses. Students wanted improvement in the laboratory like providing more state-of-the-art laboratory equipment. The study participants were of the view that they should be able toengage in research work to gain practical hands-on experiences. For example, one of theparticipants said the following. “The college of engineering should have more research opportunities available for students in professors’ labs. There might be many such opportunities available
. 6. Nolte, H., Huff, J., & McComb, C. (2022). No time for that? An investigation of mindfulness and stress in first-year engineering design. 7. Tellez-Bohorquez, F., & Gonzalez-Tobon, J. (2019). Empathic Design as a Framework for Creating Meaningful Experiences.Cognition, Psychology 1. Alzayed, M. A., Miller, S. R., & McComb, C. (2021). Empathic creativity: Can trait empathy predict creative concept generation and selection? 2. Bellinger, D. B., DeCaro, M. S., & Ralston, P. A. S. (2015). Mindfulness, anxiety, and high-stakes mathematics performance in the laboratory and classroom. 3. Berenguer, J. (2007). The Effect of Empathy in Proenvironmental Attitudes and Behaviors 4
Polytech- nic State University, San Luis Obispo. He received his Ph.D. in 1994 from Stanford University and has served as a Fulbright Scholar at Kathmandu UniversityDr. Brian P. Self, California Polytechnic State University, San Luis Obispo Brian Self obtained his B.S. and M.S. degrees in Engineering Mechanics from Virginia Tech, and his Ph.D. in Bioengineering from the University of Utah. He worked in the Air Force Research Laboratories before teaching at the U.S. Air Force Academy for sev ©American Society for Engineering Education, 2023 [Work in Progress] Intelligence is Overrated: The Influence of Noncognitive and Affective Factors on Student PerformanceAbstractWhen
, “Exploring Agency in Capstone Design Problem Framing,” Studies in Engineering Education, vol. 2, no. 2, p. 96, Dec. 2021, doi: 10.21061/see.69.[4] X. Du, A. Lundberg, M. Ayari, K. K. Naji, and A. Hawari, “Examining engineering students’ perceptions of learner agency enactment in problem- and project-based learning using Q methodology,” Journal of Engineering Education, vol. 111, no. 1, pp. 111–136, 2022.[5] M. Wilson-fetrow, V. Svihla, S. Wettstein, J. Brown, and E. Chi, “Consequential Agency in Chemical Engineering Laboratory Courses,” in American Society of Engineering Education Conference Proceedings, Minneapolis, MN, 2022.[6] R. A. Engle and F. R. Conant, “Guiding Principles for Fostering Productive
R. Haapala is an Associate Professor in the School of Mechanical, Industrial, and Manufacturing Engineering at Oregon State University, where he directs the Industrial Sustainability Laboratory and OSU Industrial Assessment Center.Dr. Christopher A. Sanchez, Oregon State University Dr. Sanchez is a cognitive psychologist with explicit interests in STEM education; specifically in the areas of engineering and design. He is currently an Associate Professor of Engineering Psychology at Oregon State University where he heads the Applied Cognitive Theory, Usability and Learning (ACTUAL) Lab- oratory. ©American Society for Engineering Education, 2023Do I need to know this?: A comparison of
://dx.doi.org/10.1037/a0016127.[12] D. H. Uttal et al., “The malleability of spatial skills: A meta-analysis of training studies,” Psychol. Bull., vol. 139, no. 2, pp. 352–402, 2013, doi: 10.1037/a0028446.[13] C. A. Supalo, “Teaching chemistry and other sciences to blind and low-vision students through hands-on learning experiences in high school science laboratories,” 2010. Accessed: Feb. 21, 2023. [Online]. Available: https://ui.adsabs.harvard.edu/abs/2010PhDT.......375S[14] T. Green, D. Kane, G. M. Timko, N. Shaheen, and W. Goodridge, “Spatial Language Used by Blind and Low-Vision High School Students During a Virtual Engineering Program,” presented at the 2022 ASEE Annual Conference, Jun. 2022.[15] D. E. Kane, T. Green, N. L
chemistry and other sciences to blind and low-vision students through hands-on learning experiences in high school science laboratories,” 2010. Accessed: Feb. 21, 2023. [Online]. Available: https://ui.adsabs.harvard.edu/abs/2010PhDT.......375S.[11] K. Fiehler, J. Reuschel, and F. Rösler, “Early non-visual experience influences proprioceptive-spatial discrimination acuity in adulthood,” Neuropsychologia, vol. 47, no. 3, pp. 897–906, Feb. 2009, doi: 10.1016/j.neuropsychologia.2008.12.023.[12] S. E. Lopez, W. Goodridge, I. Gougler, D. E. Kane, and N. Shaheen, “Preliminary Validation of a Spatial Ability Instrument for the Blind and Low Vision,” in AERA Annual Meeting, San Francisco, CA, Apr. 2020.[13] W. H. Goodridge, N. L
Oklahoma State University. Right now, Mohammad is working in the Electrical and Computer Engineering Department at the University of Texas Rio Grande Valley (UTRGV) as a Lecturer 2. He started this position in the fall of 2022, right after he got his Ph.D.Dr. R Ryan Dupont, Utah State University Dr. Dupont has more than 35 years of experience teaching and conducting applied and basic research in environmental engineering at the Utah Water Research Laboratory at Utah State University. His main research areas have addressed soil and groundwater bioDr. David K. Stevens, Utah State University ©American Society for Engineering Education, 2023 Assessing Engineering Students' Behavioral Engagement and
effectiveness, and global competencies He helped establish the scholarly foundation for engineering education as an academic discipline through lead authorship of the landmark 2006 JEE special reports ”The National Engineering Education Research Colloquies” and ”The Research Agenda for the New Dis- cipline of Engineering Education.” He has a passion for designing state-of-the-art learning spaces. While at Purdue University, Imbrie co-led the creation of the First-Year Engineering Program’s Ideas to Inno- vation (i2i) Learning Laboratory, a design-oriented facility that engages students in team-based, socially relevant projects. While at Texas A&M University Imbrie co-led the design of a 525,000 square foot state-of-the
"mathematization of space" in relation to making graphs. Fenner andO'Neill [10] had similar results from a project aimed at improving engineering students' abilitiesto analyze, interpret and communicate data. Their study found that engineering students in alinear circuits laboratory collected experimental data correctly but frequently failed to synthesizeand summarize the findings. Hadley and Oyetunji [11] found that engineering students maypossess the mathematical procedural knowledge associated with numeracy but are notnecessarily able to employ these skills in specific engineering contexts. While this researchexplores the QL of engineering students, no current instruments are specifically designed tomeasure the QL of engineering students.This work-in
blended project based learning (sbpbl) model implementation in operating system course. International Journal of Emerging Technologies in Learning (IJET), 15(5): 202–211, 2020.[19] Divya Kundra and Ashish Sureka. An experience report on teaching compiler design concepts using case-based and project-based learning approaches. In 2016 IEEE Eighth International Conference on Technology for Education (T4E), pages 216–219. IEEE, 2016.[20] Marc Dahmen, Luis Quezada, Miguel Alfaro, Guillermo Fuertes, Claudio Aballay, and Manuel Vargas. Teaching artificial intelligence using project based learning. Technical report, EasyChair, 2020.[21] D Anitha, C Jeyamala, and D Kavitha. Assessing and enhancing creativity in a laboratory course with
. R. Castaldo, W. Xu, P. Melillo, L. Pecchia, L. Santamaria, and C. James, “Detection of mental stress due to oral academic examination via ultra-short-term HRV analysis,” presented at the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.18. J. Abiade and L. Moliski, “Work-in progress: identity and transitions laboratory: Utilizing acceptance and commitment therapy framework to support engineering student success,” presented at the 2020 ASEE Virtual Annual Conference Content Access, 2020.19. Y. Yasdin, A. Abduh, M. I. Musa, and B. Rauf, “Impact of cyberbullying on the development of student soft skills in engineering education,” Systematic Reviews in Pharmacy, vol. 11
research methods such as (ethnographic observations, interviews, analysis ofartifacts and sometimes protocol analysis), these methods are always used to iteratively constructthe emerging design, which itself simultaneously constitutes and elicits the research results...” (p.164).In our research project, we sought to understand how best to design initiatives with a particularfocus on understanding what sites should be focused on (classrooms? Laboratories? Officehours? Gathering spaces?) and what populations to engage (TAs? Faculty? Staff? Otherstudents?). These narrow design parameters were used to elicit narratives and stories about bothpositive and negative experiences, or as the researchers put it to the participants, places whereand people who
Paper ID #37594IMPACT OF OPEN EDUCATIONAL RESOURCE ON IMPROVING LEARN-ING PERFORMANCE OFSTUDENTSDr. Atefe Makhmalbaf, The University of Texas at Arlington Dr. Atefe Makhmalbaf is an assistant professor at the UTA School of Architecture. She worked for Pacific Northwest National Laboratory (PNNL) as a research engineer and joined UTA after receiving a Ph.D. from Georgia Institute of Technology in Building Science. Dr. Makhmalbaf leads a Building Performance Analytics group at UTA. She develops decision support systems to enhance sustainable built environment. Since joining UTA, she has developed and taught several
and Associate Head for Undergraduate Programs in the Department of Aerospace En- gineering. He holds an affiliate appointment in the Coordinated Science Laboratory, where he leads a re- search group that works on a diverse set of projects in robotics and education (http://bretl.csl.illinois.edu/). He has received every award for undergraduate teaching that is granted by his department, college, and campus. ©American Society for Engineering Education, 2023 Second-Chance Testing as A Means of Reducing Students’ Test Anxiety and Improving OutcomesAbstractThis full research paper explores how second-chance testing can be used as a strategy formitigating students’ test
phenomenological study [10] was to describe the lived experiences ofinternational engineering graduate students who had to switch to a new research group tocomplete their studies in the US. In this study, the lived experiences of the graduate students wasdefined as the meaning students attributed to their experiences and the description of theirphysical, emotional, and psychological states as they navigated the new research laboratory andadapted to its work ethics and cultural and social norms.Positionality Researchers undertaking phenomenological studies must identify and articulate theirpositionalities [11]. Declaring our positionalities will help us set aside our experiences and focuson the research topic and process [12],[13]. The first author
enrollment course. Research should expand Hartman’s experiences withmore scholarship to understand how these influence faculty assessment decisions, such as usingtests, which our findings will begin to address. Another form of course context is the type of courses that influence the faculty’s coursedecisions. In engineering curricula, courses are typically in the form of introductory courses,fundamental engineering courses, laboratory courses, and capstone courses (Lord & Chen, 2015;Sheppard et al., 2009). Stark (2000) has argued that instructors of introductory courses tend toshape their goals of the course based on nature of the disciplines, and subsequently their courseplanning. In engineering education, however, studies on the types
Paper ID #36921A Qualitative Methods Primer: A Resource to Assist Engineering EducationScholars in Mentoring Traditionally Trained Engineering Faculty toEducational ResearchDr. Matthew Bahnson, Pennsylvania State University Matthew Bahnson a postdoctoral research scholar in engineering education with the Engineering Cogni- tive Research Laboratory with Dr. Catherin Berdanier at Pennsylvania State University. He completed his Ph.D. in the Applied Social and Community Psychology program in at North Carolina State University. His previous training includes a B.A. in Psychology from the University of Northern Iowa and an M.A. in